# Data Engineer

**Company:** [Tabs](https://hotfix.jobs/companies/tabs)
**Location:** New York, NY
**Role:** Data Engineering
**Salary:** $140k – $195k/yr
**Experience:** 3+ years
**Skills:** Python, SQL, Snowflake, BigQuery, Redshift, Databricks, dbt, Airflow, Dagster, Fivetran
**Posted:** 2025-12-15

> Build core data infrastructure as the first Data Engineer, designing scalable warehouse/lakehouse, data pipelines, and models for KPIs and AI systems. Requires 3-5+ years experience with Python, SQL, and modern cloud data stack in startups.

## Job Description

## What you'll do

- Design and implement our first scalable data warehouse/lakehouse to support KPIs.
- Build and maintain reliable data pipelines (batch and/or streaming) from application databases and third-party tools.
- Work with leadership to translate business metrics into concrete data models and schemas.
- Define and own data modeling standards and best practices.
- Implement monitoring, data quality checks, and observability around pipelines and core tables.
- **Enable BI and data analysts through well structured models and self-serve friendly datasets.**
- Document the data platform (lineage, definitions, contracts) and help establish a shared source of truth for metrics.

## Experience

- 3–5+ years of experience as a Data Engineer, ideally in a mid-stage startup.
- Solid programming skills in Python.
- Strong SQL skills and experience designing/data modeling for analytics
- Hands-on experience with a modern cloud data stack, such as:
  - Warehouses: Snowflake, BigQuery, Redshift, Databricks, etc.
  - Orchestration/transformation: dbt, Airflow, Dagster, or similar.
  - Ingestion: Fivetran, Stitch, custom ingestion pipelines, etc.
- Experience building and operating production-grade data pipelines (performance, reliability, cost-awareness).
- Strong understanding of data quality, testing, and monitoring practices.
- Comfort starting from a relatively greenfield environment and making pragmatic build vs. buy decisions.

## Nice to have

- Experience supporting BI tools (Looker, Mode, Tableau, Metabase, etc) and designing semantic layers.
- Experience in B2B SaaS, especially around revenue, usage, and customer health metrics.
- Prior experience as an early data hire or working in a small or medium, fast-growing startup.

## Perks and Benefits (Full-time Employees)

- Competitive compensation and equity
- Unlimited PTO
- Up to 100% employer covered monthly healthcare premium (medical, dental, vision)
- Lunch provided via Sharebite, plus dinner for any later office days.
- Parental leave up to 12 weeks
- Tax free commuter and parking benefits
- Voluntary insurances (Life, Hospital, Critical Illness, Accident)
- Employee Assistance Program (Rightway)
- 401k

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**Apply:** https://hotfix.jobs/jobs/c0570200-483c-49e1-af96-007c1e489947
**Canonical:** https://hotfix.jobs/jobs/c0570200-483c-49e1-af96-007c1e489947